qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
hf.co/unsloth/gemma-4-E2B-it-GGUF:UD-Q8_K_XL
OLLAMA GGUFgemma4 · 4.65B · unknown
Aug 23, 2026 · Apple M1 Pro
Global Score
53 vs 84
Hardware Fit
89 vs 99
Quality Score
38 vs 77
Hardware
qwen3.5-0.8b-mlx hf.co/unsloth/gemm…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx hf.co/unsloth/gemm…
Tokens/sec52.948.0
First chunk4013 ms167 ms
TTFT4.0 s167 ms
Load timeN/A4.7 s
Memory usage0.6 GB5.3 GB
Memory %1%33%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
hf.co/unsloth/gemma-4-E…
Speed
50/50
TTFT
20/20
Memory
29/30
Quality
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
hf.co/unsloth/gemma-4-E…
Reasoning
12/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest